StrategyCore
All industries/Industry 09

Make Japan's insurers your customers

Few companies hold more sensitive personal data than Japan's insurers, and the FSA holds them accountable for all of it. They price and underwrite on live data and put analytics in the hands of agents and adjusters, yet nothing touches a policyholder record until governance is settled. StrategyCore settles it with you and represents your product to these insurers in Japanese.

// The demand

What Japanese insurance buyers demand

01 /

Real-time underwriting and pricing

Underwriting and fraud decisions now happen while the applicant waits. A batch pipeline cannot support the pricing and risk calls an insurer makes live.

02 /

Sensitive personal data under APPI

Life and medical insurers hold health data, which APPI treats as requiring special care. Buyers expect it handled and stored under Japanese rules.

03 /

Change data capture from policy and claims systems

Policy administration and claims run without pause. Moving their data into analytics means streaming change data capture, not an overnight window.

04 /

Analytics in the hands of agents and adjusters

Sales agents and claims adjusters need embedded dashboards inside their own tools, not a separate BI seat.

05 /

FSA oversight and auditability

The FSA holds insurers to documented controls and audit trails. Buyers need systems that can show who touched what, and where the data ran.

06 /

Email and brand protection

Insurers are heavily impersonated in phishing aimed at policyholders. DMARC enforcement keeps customer-facing domains from being spoofed.

// The solutioning

Vendors and open source, mapped to the demand

Real-time data platform

SingleStore holds policy, claims, and risk state at stream speed, driving underwriting and fraud analytics. PostgreSQL and ClickHouse back it as open alternatives, so an insurer is never tied to a single engine.

Systems-of-record ingestion

SingleStore Flow, the no-code CDC and batch engine now part of SingleStore, pulls policy administration, SAP, and Oracle data into the analytics store. It sits alongside Striim, which handles the real-time streams.

Streaming integration

Striim captures change from policy, claims, and CRM systems into the analytics platform with no downtime. Debezium and Kafka are the open-source path.

Embedded analytics for agents

Logi Composer embeds underwriting and claims dashboards directly into the tools agents and adjusters already use, with no separate BI seat.

Device and email security

DeviceTotal ranks device and firmware risk across the estate, and Valimail brings DMARC to enforcement so policyholder-facing domains cannot be impersonated.

AIOps and GPU scaling

ProphetStor scales GPU and infrastructure so underwriting and claims analytics hold under load.

AI and model routing

Gradient-boosted underwriting and claims-fraud scoring run on models inside the insurer's environment, over the policyholder and health data APPI keeps there. Lighter workloads can use a frontier API.

// Architecture

Reference architecture for insurance

How the vendor and open-source pieces fit together in a production stack for a life or non-life insurer.

Treat this as an indicative reference architecture rather than a fixed blueprint. The components shown are examples, and the real stack depends on the vendors and systems each institution runs. It can be extended or swapped as needed.

T0

Systems of record & feeds

Policy administration, claims systems, actuarial / pricing, agent and CRM systems, and underwriting / health data.

Policy administration

src.policy-admin

Claims system

src.claims

Actuarial / pricing

src.actuarial

Agent / CRM

src.agent+crm

Underwriting / health data

src.underwriting-data

T1

Data ingestion

Real-time policy and claims events stream in with exactly-once guarantees; policy admin, SAP, and Oracle arrive via no-code CDC and batch loads.

Real-time policy / claims events

stream.policy+claims · exactly-once

Striim

Policy admin / SAP / Oracle batch + CDC

flow.policyadmin · no-code batch cdc

SingleStore Flow
T2

Transactional data plane

One HTAP store holds policy and claims time-series, vector indexes, and the live risk / underwriting feature store on a single engine.

HTAP policy / claims store

db.htap · policy-claims

SingleStore

Vector index

db.vector-index

SingleStore

Risk / underwriting feature store

db.feature-store · risk

SingleStore
T3

AI & real-time inference

Score underwriting risk, detect claims fraud, triage claims, and ground answers with retrieval, served by a sovereign Japanese-language model.

Underwriting / risk scoring

ml.underwriting-score

Claims fraud detection

ml.fraud-detection

Claims triage

ml.claims-triage

GPU training & tuning

gpu.train+tune

ProphetStor

Sovereign LLM (JP)

llm.sovereign · self-hosted

Retrieval-augmented generation

rag.retrieval

SingleStore

Real-time AI-ready feed

embeddings · governed stream

Striim
T4

Model-independent intelligence

The layer that makes AI adoption durable: route each workload to the best model, hold decision state, learn from outcomes, and keep the intelligence portable across model vendors.

Any-model router

svc.model-router · any-llm

Decision state

intel.state-store

Closed learning loop

svc.learn-loop · closed

Decision provenance

svc.provenance · federated

T5

FSA, Insurance Business Act & privacy governance

Meet FSA oversight and the Insurance Business Act, honor APPI special-care data obligations, verify device posture and email authentication, and keep a full decision audit trail.

FSA & Insurance Business Act

gov.fsa+insurance-act

APPI special-care data

gov.appi-sensitive

Device posture

sec.device-posture

DeviceTotal

Email authentication

sec.email-auth

Valimail

Decision audit trail

gov.audit-trail

T6

Region-contained delivery

Run on-premise inside the region, expose an underwriting and decision API, and embed analytics directly in the tools agents and adjusters use.

Contained region / on-prem

deploy.onprem+region

Underwriting / decision API

api.underwriting+decision

Embedded analytics

app.embedded-analytics

Logi Composer

// Data residency & compliance

The rules your product has to satisfy here

Buyers in this sector are bound by the instruments below. A product wins here only if it can deploy in a way that satisfies them, and that deployment is the part StrategyCore runs.

Insurance Business Act and FSA supervision

Insurers operate under FSA supervision and the Insurance Business Act, including outsourcing and system-risk oversight.

APPI special-care-required data

The medical parts of an underwriting file, such as history, checkup results, and treatment records, are special-care-required personal information and need consent to acquire. The rest of the file is ordinary personal data.

APPI Article 28 (PPC)

Cross-border transfer of personal data requires consent or an adequacy or safeguard basis.

Personal data everywhere is governed by APPI Article 28 and the PPC, and EU-facing data falls under the EU-Japan mutual adequacy decision. This is an indicative procurement summary and does not constitute legal advice.

// Partners

The vendors we support for this industry

// The market

Representative buyers in this market

Representative companies in this market, the prospects to target and sell to.

// Related solutions

The solution domains behind this industry

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Plan your insurance entry

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